Mining Class Association Rules for Word Sense Disambiguation

In this paper we propose an approach to the task of Word Sense Disambiguation problem that uses Class Association Rules to create an effective and human-understandable rule-based classifier. We present the accuracy of classification of selected polysemous words on an evaluation corpus using the prop...

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Bibliographic Details
Published inSecurity and Intelligent Information Systems pp. 307 - 317
Main Author Kobyliński, Łukasz
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2012
SeriesLecture Notes in Computer Science
Subjects
Association Rule
Class Association
Frequent Itemsets
Word Sense
Word Sense Disambiguation
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Summary:In this paper we propose an approach to the task of Word Sense Disambiguation problem that uses Class Association Rules to create an effective and human-understandable rule-based classifier. We present the accuracy of classification of selected polysemous words on an evaluation corpus using the proposed method and compare it to other known approaches. We discuss the advantages and weaknesses of a classifier based on association rules and present ideas for future work on the idea.
ISBN:9783642252600
3642252605
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-25261-7_24